Sophia Lu's Projects
Code for paper - A Deep Generative Approach to Conditional Sampling
Official implementation of AnimateDiff.
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
By PyTorch
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
R code for Bayesian selective inference
A novel approach for synthesizing tabular data using pretrained large language models
Google AI 2018 BERT pytorch implementation
Comparisons between best subset selection and other popular estimators for sparse regression
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
:exclamation: This is a read-only mirror of the CRAN R package repository. bsts — Bayesian Structural Time Series
Scalable, event-driven, deep-learning-friendly backtesting library
An R package for causal inference in time series
Implementation of a Wasserstein Generative Adversarial Network with Gradient Penalty
Conditional Wasserstein GANs
Machine learning datasets used in tutorials on MachineLearningMastery.com
WASP and PIE algorithms of Sanvesh Srivastava, Cheng Li, and David Dunson (2015, 2017)
Decomposition-based peak identification, which find peaks across a large number of TSS (transcription starting site) profiles
Replication files for "Using WGANs for the Design of Monte Carlo Simulations"
A Nice-looking CV template made into LaTeX